In this chapter, you will deep dive into robot navigation, a ubiquitous task in robotics engineering. Typical use cases include self-driving cars and transporting materials in a factory. You will find that the map we generated previously by applying SLAM (Simultaneous localization and mapping) is used for path planning along the way. Given an initial pose, the robot will travel along the optimal path and should be capable of reacting to dynamic events, that is, it should be able to avoid the obstacles (static or dynamic) that appeared after the map was built.
This chapter is a natural extension of the previous one. In the previous chapter, you gained a practical understanding of SLAM and navigation, and you did that inside the Gazebo simulator using a virtual model of GoPiGo3. Now, you are ready to complete the exercise again with a physical robot. By...
